class_docstr: A module (custom layer) for normalizing the input to have a fixed 
  mean and standard deviation (user-specified).
code: def forward(self, x):
      x = ch.clamp(x, 0, 1)
      x_normalized = (x - self.new_mean) / self.new_std
      return x_normalized
  
imports: import torch
  import shutil
  import dill
  import os
  from subprocess import Popen, PIPE
  import pandas
  from PIL import Image
  from .None import constants
label_desc: Use image node_id 2 for calling the InputNormalize obj's underlying member method code with example usage: obj.forward(x) and returns: x_normalized